Data Augmentation (DA) is a technique to increase the quantity and diver...
Concerns about the reproducibility of deep learning research are more
pr...
In the last years, deep learning has dramatically improved the performan...
When using Convolutional Neural Networks (CNNs) for segmentation of orga...
Kidney tumor segmentation emerges as a new frontier of computer vision i...
Glioma is one of the most common types of brain tumors arising in the gl...
Regularised canonical correlation analysis was recently extended to more...
Principal component analysis (PCA) is an exploratory tool widely used in...
In the context high-dimensionnal predictive models, we consider the prob...
The use of machine-learning in neuroimaging offers new perspectives in e...